更换文档检测模型

paddle_detection/configs/fcos/_base_/fcos_r50_fpn.yml

@@ -0,0 +1,48 @@
+architecture: FCOS
+pretrain_weights: https://paddledet.bj.bcebos.com/models/pretrained/ResNet50_cos_pretrained.pdparams
+
+FCOS:
+  backbone: ResNet
+  neck: FPN
+  fcos_head: FCOSHead
+
+ResNet:
+  depth: 50
+  variant: 'b'
+  norm_type: bn
+  freeze_at: 0 # res2
+  return_idx: [1, 2, 3]
+  num_stages: 4
+
+FPN:
+  out_channel: 256
+  spatial_scales: [0.125, 0.0625, 0.03125]
+  extra_stage: 2
+  has_extra_convs: True
+  use_c5: False
+
+FCOSHead:
+  fcos_feat:
+    name: FCOSFeat
+    feat_in: 256
+    feat_out: 256
+    num_convs: 4
+    norm_type: "gn"
+    use_dcn: False
+  fpn_stride: [8, 16, 32, 64, 128]
+  prior_prob: 0.01
+  norm_reg_targets: True
+  centerness_on_reg: True
+  num_shift: 0.5
+  fcos_loss:
+    name: FCOSLoss
+    loss_alpha: 0.25
+    loss_gamma: 2.0
+    iou_loss_type: "giou"
+    reg_weights: 1.0
+  nms:
+    name: MultiClassNMS
+    nms_top_k: 1000
+    keep_top_k: 100
+    score_threshold: 0.025
+    nms_threshold: 0.6

paddle_detection/configs/fcos/_base_/fcos_reader.yml

@@ -0,0 +1,42 @@
+worker_num: 2
+TrainReader:
+  sample_transforms:
+  - Decode: {}
+  - Resize: {target_size: [800, 1333], keep_ratio: True, interp: 1}
+  - NormalizeImage: {mean: [0.485, 0.456, 0.406], std: [0.229, 0.224, 0.225], is_scale: True}
+  - RandomFlip: {}
+  batch_transforms:
+  - Permute: {}
+  - PadBatch: {pad_to_stride: 128}
+  - Gt2FCOSTarget:
+      object_sizes_boundary: [64, 128, 256, 512]
+      center_sampling_radius: 1.5
+      downsample_ratios: [8, 16, 32, 64, 128]
+      norm_reg_targets: True
+  batch_size: 2
+  shuffle: True
+  drop_last: True
+  use_shared_memory: True
+
+
+EvalReader:
+  sample_transforms:
+  - Decode: {}
+  - Resize: {target_size: [800, 1333], keep_ratio: True, interp: 1}
+  - NormalizeImage: {mean: [0.485, 0.456, 0.406], std: [0.229, 0.224, 0.225], is_scale: True}
+  - Permute: {}
+  batch_transforms:
+  - PadBatch: {pad_to_stride: 128}
+  batch_size: 1
+
+
+TestReader:
+  sample_transforms:
+  - Decode: {}
+  - Resize: {target_size: [800, 1333], keep_ratio: True, interp: 1}
+  - NormalizeImage: {mean: [0.485, 0.456, 0.406], std: [0.229, 0.224, 0.225], is_scale: True}
+  - Permute: {}
+  batch_transforms:
+  - PadBatch: {pad_to_stride: 128}
+  batch_size: 1
+  fuse_normalize: True

paddle_detection/configs/fcos/_base_/optimizer_1x.yml

@@ -0,0 +1,19 @@
+epoch: 12
+
+LearningRate:
+  base_lr: 0.01
+  schedulers:
+  - !PiecewiseDecay
+    gamma: 0.1
+    milestones: [8, 11]
+  - !LinearWarmup
+    start_factor: 0.3333333333333333
+    steps: 500
+
+OptimizerBuilder:
+  optimizer:
+    momentum: 0.9
+    type: Momentum
+  regularizer:
+    factor: 0.0001
+    type: L2